4 papers
Collective Voice: Recovered-Peer Support Mediated by An LLM-Based Chatbot for Eating Disorder Recovery
Ryuhaerang Choi, Taehan Kim, Subin Park +3
Peer recovery narratives provide unique benefits beyond professional or lay mentoring by fostering hope and sustained recovery in eating disorder (ED) contexts. Yet, such support i…
Impact Ambivalence: How People with Eating Disorders Get Trapped in the Perpetual Cycle of Digital Food Content Engagement
Ryuhaerang Choi, Subin Park, Sujin Han +2
Digital food content could impact viewers' dietary health, with individuals with eating disorders being particularly sensitive to it. However, a comprehensive understanding of why…
SoundCollage: Automated Discovery of New Classes in Audio Datasets
Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis +3
Developing new machine learning applications often requires the collection of new datasets. However, existing datasets may already contain relevant information to train models for…
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
Ryuhaerang Choi, Taehan Kim, Subin Park +2
Eating disorders (ED) are complex mental health conditions that require long-term management and support. Recent advancements in large language model (LLM)-based chatbots offer the…